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Support vector machine (SVM) considers all data points with the same importance in classification problems, therefore SVM is very sensitive to noisy data or outliers. Current fuzzy approach to two-class SVM introduces a fuzzy membership to each data point in order to reduce the sensitivity of less important data, however computing fuzzy memberships is still a challenge. It has been found that the...
In this paper, we introduce a new topology of optimal polynomial fuzzy swarm net (OPFSN) that is based on swarm optimized multilayer perceptron with fuzzy polynomial neurons. The study offers a comprehensive design methodology involving mechanisms of particle swarm optimization (PSO). The design of the conventional PNN uses extended group methods of data handling (GMDH) with a fixed scheme for the...
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